AINewsnow

Pinecone vs Qdrant vs pgvector: The Same RAG Query in All Three (Python Code Comparison)

This story is from 2026-10-06. It is preserved in the archive; the latest stories are on the live feed.

Comparison tables are useful, but nothing beats seeing the code. Here is the same task in all three: store chunk embeddings and run a similarity search filtered to one tenant. Assume vec is a 1536-dimension embedding from text-embedding-3-small . pgvector (Postgres extension) CREATE EXTENSION IF NO…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-06 11:30 · DEV Community — AI
    Pinecone vs Qdrant vs pgvector: The Same RAG Query in All Three (Python Code Comparison)

More stories

  1. Trump’s big AI move: ‘Super Intelligence Force’ launched, Jay Clayton named AI czar — Mint AI
  2. Sam Altman to Decoded: ‘The world should accept some bad things happening’ for the benefits of AI — Politico Technology
  3. Introducing GLM 5.3 on Amazon Bedrock — AWS Machine Learning Blog
  4. OpenAI safety employee resigns, claiming the company’s ‘culture is broken’ — TechCrunch AI
  5. can i run qwen flash next with these specs, or am i out of luck? — r/LocalLLM
  6. Reflection AI Is About to Release a US Open-Weight Model to Take On DeepSeek and Qwen — r/LocalLLaMA
  7. Supercharge regulated workloads with Claude Code and Amazon Bedrock — AWS Machine Learning Blog
  8. The Story of Qwen: Alibaba's AI Models From 7B to 2.4T — MarkTechPost

Get the daily brief of stories like this at 6:30 every morning →